RBFNN algorithm based on hybrid hierarchy genetic algorithm and its application
基于混合递阶遗传算法的径向基神经网络学习算法及其应用

Based on the study of RBFNN (radial basis function neural network) training algorithm and genetic algorithm, a new RBFNN training algorithm-hybrid hierarchy genetic algorithm is introduced by combining hierarchy genetic algorithm and least-square method. The hybrid algorithm greatly increases the training speed while is still able to determine the structure and parameters of the RBFNN from sample data. The new training algorithm is used to identify and predict M-G chaos time series, and the simulation gives staisfied result.